Arman Rahmim - RankMe

107 papers B 7Journal 80Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-Kernel Gated Decoder Adapters for Robust Multi-Task Thyroid Ultrasound under Cross-Center Shift. CoRR Maziar Sabouri, Nourhan Bayasi, Arman Rahmim
2026	J	`jnl`	Unveiling and Bridging the Functional Perception Gap in MLLMs: Atomic Visual Alignment and Hierarchical Evaluation via PET-Bench. CoRR Zanting Ye, Xiaolong Niu, Xuanbin Wu, Xu Han, Shengyuan Liu, Jing Hao, Zhihao Peng, Hao Sun, Jieqin Lv, Fanghu Wang, Yanchao Huang, Hubing Wu, Yixuan Yuan, Habib Zaidi, Arman Rahmim, Yefeng Zheng, Lijun Lu
2025	J	`jnl`	A Multimodal and Multi-centric Head and Neck Cancer Dataset for Segmentation, Diagnosis and Outcome Prediction. CoRR Numan Saeed, Salma Hassan, Shahad Hardan, Ahmed Aly, Darya Taratynova, Umair Nawaz, Ufaq Khan, Muhammad Ridzuan, Vincent Andrearczyk, Adrien Depeursinge, Yutong Xie, Thomas Eugene, Raphaël Metz, Mélanie Dore, Gregory Delpon, Vijay Ram Papineni, Kareem A. Wahid, Cem Dede, Alaa Mohamed Shawky Ali, Carlos Sjogreen, Mohamed A. Naser, Clifton D. Fuller, Valentin Oreiller, Mario Jreige, John O. Prior, Catherine Cheze Le Rest, Olena Tankyevych, Pierre Decazes, Su Ruan, Stephanie Tanadini-Lang, Martin Vallières, Hesham Elhalawani, Ronan Abgral, Romain Floch, Kevin Kerleguer, Ulrike Schick, Maelle Mauguen, David Bourhis, Jean-Christophe Leclere, Amandine Sambourg, Arman Rahmim, Mathieu Hatt, Mohammad Yaqub
2025	J	`jnl`	AI-Augmented Thyroid Scintigraphy for Robust Classification. CoRR Maziar Sabouri, Ghasem Hajianfar, Alireza Rafiei Sardouei, Milad Yazdani, Azin Asadzadeh, Soroush Bagheri, Mohsen Arabi, Seyed Rasoul Zakavi, Emran Askari, Atena Aghaee, Dena Shahriari, Habib Zaidi, Arman Rahmim
2025	J	`jnl`	Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images. CoRR Obed Korshie Dzikunu, Shadab Ahamed, Amirhossein Toosi, Xiaoxiao Li, Arman Rahmim
2025	J	`jnl`	AllMetrics: A Unified Python Library for Standardized Metric Evaluation and Robust Data Validation in Machine Learning. CoRR Morteza Alizadeh, Mehrdad Oveisi, Sonya Falahati, Ghazal Mousavi, Mohsen Alambardar Meybodi, Somayeh Sadat Mehrnia, Ilker Hacihaliloglu, Arman Rahmim, Mohammad R. Salmanpour
2025	J	`jnl`	Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies. CoRR Alejandro López-Montes, Fereshteh Yousefirizi, Yizhou Chen, Yazdan Salimi, Robert Seifert, Ali Afshar-Oromieh, Carlos F. Uribe, Axel Rominger, Habib Zaidi, Arman Rahmim, Kuangyu Shi
2025	J	`jnl`	Click, Predict, Trust: Clinician-in-the-Loop AI Segmentation for Lung Cancer CT-Based Prognosis within the Knowledge-to-Action Framework. CoRR Mohammad R. Salmanpour, Sonya Falahati, Amir Hossein Pouria, Amin Mousavi, Somayeh Sadat Mehrnia, Morteza Alizadeh, Arman Gorji, Zeinab Farsangi, Alireza Safarian, Mehdi Maghsudi, Carlos Uribe, Arman Rahmim, Ren Yuan
2025	J	`jnl`	Comprehensive Evaluation of Quantitative Measurements from Automated Deep Segmentations of PSMA PET/CT Images. CoRR Obed Korshie Dzikunu, Amirhossein Toosi, Shadab Ahamed, Sara Harsini, François Bénard, Xiaoxiao Li, Arman Rahmim
2025	J	`jnl`	Efficacy of PSMA PET/CT radiomics analysis for risk stratification in newly diagnosed prostate cancer: a multicenter study. BMC Medical Imaging Esmail Jafari, Amin Zarei, Habibollah Dadgar, Ahmad Keshavarz, Hamid Abdollahi, Rezvan Samimi, Reyhaneh Manafi-Farid, GhasemAli Divband, Babak Nikkholgh, Babak Fallahi, HamidReza Amini, Hojjat Ahmadzadehfar, Arman Rahmim, Farshad Zohrabi, Majid Assadi
2025	J	`jnl`	Emerging Frameworks for Objective Task-based Evaluation of Quantitative Medical Imaging Methods. CoRR Yan Liu, Huitian Xia, Nancy A. Obuchowski, Richard Laforest, Arman Rahmim, Barry A. Siegel, Abhinav K. Jha
2025	J	`jnl`	Enhancement Without Contrast: Stability-Aware Multicenter Machine Learning for Glioma MRI Imaging. CoRR Sajad Amiri, Shahram Taeb, Sara Gharibi, Setareh Dehghanfard, Somayeh Sadat Mehrnia, Mehrdad Oveisi, Ilker Hacihaliloglu, Arman Rahmim, Mohammad R. Salmanpour
2025	J	`jnl`	Enhancing radiomics robustness using bayesian penalized likelihood PET reconstruction: application to Phantom and non-small cell lung cancer patient studies. BMC Medical Imaging Zahra Valibeiglou, Jalil Pirayesh Islamian, Yunus Soleymani, Saeed Farzanehfar, Farahnaz Aghahosseini, Neda Gilani, Arman Rahmim, Peyman Sheikhzadeh
2025	J	`jnl`	Handcrafted vs. Deep Radiomics vs. Fusion vs. Deep Learning: A Comprehensive Review of Machine Learning -Based Cancer Outcome Prediction in PET and SPECT Imaging. CoRR Mohammad R. Salmanpour, Somayeh Sadat Mehrnia, Sajad Jabarzadeh Ghandilu, Zhino Safahi, Sonya Falahati, Shahram Taeb, Ghazal Mousavi, Mehdi Maghsoudi, Ahmad Shariftabrizi, Ilker Hacihaliloglu, Arman Rahmim
2025	J	`jnl`	IgCONDA-PET: Weakly-supervised PET anomaly detection using implicitly-guided attention-conditional counterfactual diffusion modeling - a multi-center, multi-cancer, and multi-tracer study. Comput. Medical Imaging Graph. Shadab Ahamed, Arman Rahmim
2025	J	`jnl`	Machine Learning Evaluation Metric Discrepancies Across Programming Languages and Their Components in Medical Imaging Domains: Need for Standardization. IEEE Access Mohammad R. Salmanpour, Morteza Alizadeh, Ghazal Mousavi, Saba Sadeghi, Sajad Amiri, Mehrdad Oveisi, Arman Rahmim, Ilker Hacihaliloglu
2025	J	`jnl`	Multi-scale computational modeling towards efficacy in radiopharmaceutical therapies while minimizing side effects: Modeling of amino acid infusion. PLoS Comput. Biol. Aryan Golzaryan, Mohammad Souri, Farshad Moradi Kashkooli, Arman Rahmim, Madjid Soltani
2025	J	`jnl`	Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0. CoRR Mohammad R. Salmanpour, Seyed Mohammad Piri, Somayeh Sadat Mehrnia, Ahmad Shariftabrizi, Masume Allahmoradi, Venkata SK. Manem, Arman Rahmim, Ilker Hacihaliloglu
2025	J	`jnl`	PyTomography: A python library for medical image reconstruction. SoftwareX Lucas A. Polson, Roberto Fedrigo, Chenguang Li, Maziar Sabouri, Obed Dzikunu, Shadab Ahamed, Nicolas A. Karakatsanis, Sara Kurkowska, Peyman Sheikhzadeh, Pedro L. Esquinas, Arman Rahmim, Carlos F. Uribe
2025	J	`jnl`	RT-utils: A Minimal Python Library for RT-struct Manipulation. J. Open Source Softw. Asim Shrestha, Adam Watkins, Fereshteh Yousefirizi, Arman Rahmim, Carlos F. Uribe
2025	J	`jnl`	Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Breast Cancer; Dictionary Version BM1.0. CoRR Arman Gorji, Nima Sanati, Amir Hossein Pouria, Somayeh Sadat Mehrnia, Ilker Hacihaliloglu, Arman Rahmim, Mohammad R. Salmanpour
2025	J	`jnl`	Robust Semi-Supervised CT Radiomics for Lung Cancer Prognosis: Cost-Effective Learning with Limited Labels and SHAP Interpretation. CoRR Mohammad R. Salmanpour, Amir Hossein Pouria, Sonia Falahati, Shahram Taeb, Somayeh Sadat Mehrnia, Mehdi Maghsudi, Ali Fathi Jouzdani, Mehrdad Oveisi, Ilker Hacihaliloglu, Arman Rahmim
2025	J	`jnl`	Uncertainty Propagation From Projections to Region Counts in Tomographic Imaging: Application to Radiopharmaceutical Dosimetry. IEEE Trans. Medical Imaging Lucas A. Polson, Sara Kurkowska, Chenguang Li, Pedro L. Esquinas, Peyman Sheikhzadeh, Mehrshad Abbasi, François Bénard, Carlos F. Uribe, Arman Rahmim
2025	J	`jnl`	What is Implementation Science; and Why It Matters for Bridging the Artificial Intelligence Innovation-to-Application Gap in Medical Imaging. CoRR Ahmad Fayaz-Bakhsh, Janice Tania, Syaheerah Lebai Lutfi, Abhinav K. Jha, Arman Rahmim
2024	J	`jnl`	A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma. CoRR Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi
2024	J	`jnl`	A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. CoRR Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O, Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
2024	J	`jnl`	Assessing privacy leakage in synthetic 3-D PET imaging using transversal GAN. Comput. Methods Programs Biomed. Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng
2024	—	`conf`	Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging. CMMCA@MICCAI Niloufar Zakariaei, Arman Rahmim, Eldad Haber
2024	J	`jnl`	Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging. CoRR Niloufar Zakariaei, Arman Rahmim, Eldad Haber
2024	J	`jnl`	Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0. CoRR Mohammad R. Salmanpour, Sajad Amiri, Sara Gharibi, Ahmad Shariftabrizi, Yixi Xu, William B. Weeks, Arman Rahmim, Ilker Hacihaliloglu
2024	J	`jnl`	Deep Optimal Experimental Design for Parameter Estimation Problems. CoRR Md Shahriar Rahim Siddiqui, Arman Rahmim, Eldad Haber
2024	J	`jnl`	Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study. Int. J. Imaging Syst. Technol. Isaac Shiri, Yazdan Salimi, Abdollah Saberi, Masoumeh Pakbin, Ghasem Hajianfar, Atlas Haddadi Avval, Amirhossein Sanaat, Azadeh Akhavanallaf, Shayan Mostafaei, Zahra Mansouri, Dariush Askari, Mohammadreza Ghasemian, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Bardia Khosravi, Maziar Khateri, Salar Bijari, Mohammad Reza Atashzar, Sajad P. Shayesteh, Mohammadreza Babaei, Elnaz Jenabi, Mohammad Hasanian, Alireza Shahhamzeh, Seyed Yaser Foroghi Ghomi, Abolfazl Mozafari, Hesamaddin Shirzad-Aski, Fatemeh Movaseghi, Rama Bozorgmehr, Neda Goharpey, Hamid Abdollahi, Parham Geramifar, Amir Reza Radmard, Hossein Arabi, Kiara Rezaei-Kalantari, Mehrdad Oveisi, Arman Rahmim, Habib Zaidi
2024	J	`jnl`	Enhanced Lung Cancer Survival Prediction using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets. CoRR Mohammad R. Salmanpour, Arman Gorji, Amin Mousavi, Ali Fathi Jouzdani, Nima Sanati, Mehdi Maghsudi, Bonnie Leung, Cheryl Ho, Ren Yuan, Arman Rahmim
2024	J	`jnl`	How To Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-Angle Maximum Intensity Projections and Diffusion Models. CoRR Amirhosein Toosi, Sara Harsini, François Bénard, Carlos F. Uribe, Arman Rahmim
2024	—	`conf`	How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models. DGM4MICCAI@MICCAI Amirhosein Toosi, Sara Harsini, François Bénard, Carlos F. Uribe, Arman Rahmim
2024	J	`jnl`	IgCONDA-PET: Implicitly-Guided Counterfactual Diffusion for Detecting Anomalies in PET Images. CoRR Shadab Ahamed, Yixi Xu, Arman Rahmim
2024	J	`jnl`	MEDDAP: Medical Dataset Enhancement via Diversified Augmentation Pipeline. CoRR Yasamin Medghalchi, Niloufar Zakariaei, Arman Rahmim, Ilker Hacihaliloglu
2024	J	`jnl`	Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardization. CoRR Mohammad R. Salmanpour, Morteza Alizadeh, Ghazal Mousavi, Saba Sadeghi, Sajad Amiri, Mehrdad Oveisi, Arman Rahmim, Ilker Hacihaliloglu
2024	J	`jnl`	Nuclear Medicine Artificial Intelligence in Action: The Bethesda Report (AI Summit 2024). CoRR Arman Rahmim, Tyler J. Bradshaw, Guido Davidzon, Joyita Dutta, Georges El Fakhri, Munir Ghesani, Nicolas A. Karakatsanis, Quanzheng Li, Chi Liu, Emilie Roncali, Babak Saboury, Tahir Yusufaly, Abhinav K. Jha
2024	J	`jnl`	Prognosis of COVID-19 using Artificial Intelligence: A Systematic Review and Meta-analysis. CoRR SaeedReza Motamedian, Sadra Mohaghegh, Elham Babadi Oregani, Mahrsa Amjadi, Parnian Shobeiri, Negin Cheraghi, Niusha Solouki, Nikoo Ahmadi, Mohammad-Rahimi Hossein, Yassine Bouchareb, Arman Rahmim
2024	J	`jnl`	Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images. CoRR Amirhosein Toosi, Isaac Shiri, Habib Zaidi, Arman Rahmim
2024	J	`jnl`	SlicerSPECTRecon: A 3D Slicer Extension for SPECT Image Reconstruction. J. Open Source Softw. Obed Dzikunu, Maziar Sabouri, Shadab Ahamed, Carlos F. Uribe, Arman Rahmim, Lucas A. Polson
2024	J	`jnl`	Spatiotemporal modeling of radiopharmaceutical transport in solid tumors: Application to 177Lu-PSMA therapy of prostate cancer. Comput. Methods Programs Biomed. Anahita Piranfar, Madjid Soltani, Farshad Moradi Kashkooli, Carlos F. Uribe, Arman Rahmim
2024	—	`conf`	Stable Diffusion Model-Based Scintigraphy Image Synthesis: Data Augmentation Toward Enhanced Multiclass Thyroid Diagnosis. EUVIP Ghasem Hajianfar, Maziar Sabouri, Abdollah Saberi Manesh, Soroush Bagheri, Mohsen Arabi, Seyed Rasoul Zakavi, Emran Askari, Ali Rasouli, Azin Asadzadeh, Atena Aghaee, Kourosh Fattahi, Ehsan Bayat, Mahdi Mogharrabi, Mohammad Chehreghani, Yazdan Salimi, Amirhossein Sanaat, Arman Rahmim, Isaac Shiri, Habib Zaidi
2024	—	`conf`	Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images. EUVIP Maziar Sabouri, Shadab Ahamed, Azin Asadzadeh, Atlas Haddadi Avval, Soroush Bagheri, Mohsen Arabi, Seyed Rasoul Zakavi, Emran Askari, Ali Rasouli, Atena Aghaee, Mohaddese Sehati, Fereshteh Yousefirizi, Carlos F. Uribe, Ghasem Hajianfar, Habib Zaidi, Arman Rahmim
2024	J	`jnl`	Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images. CoRR Maziar Sabouri, Shadab Ahamed, Azin Asadzadeh, Atlas Haddadi Avval, Soroush Bagheri, Mohsen Arabi, Seyed Rasoul Zakavi, Emran Askari, Ali Rasouli, Atena Aghaee, Mohaddese Sehati, Fereshteh Yousefirizi, Carlos F. Uribe, Ghasem Hajianfar, Habib Zaidi, Arman Rahmim
2023	B	`conf`	A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. Image Processing Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo Hyun O, Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
2023	J	`jnl`	Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss. Comput. Biol. Medicine Yixi Xu, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim, Juan M. Lavista Ferres
2023	J	`jnl`	Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images. CoRR Shadab Ahamed, Yixi Xu, Claire Gowdy, Joo Hyun O, Ingrid Bloise, Don Wilson, Patrick Martineau, François Bénard, Fereshteh Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, William B. Weeks, Carlos F. Uribe, Arman Rahmim
2023	J	`jnl`	Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancer. Comput. Methods Programs Biomed. Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, Arman Rahmim
2023	J	`jnl`	Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT Images. CoRR Shadab Ahamed, Arman Rahmim
2023	J	`jnl`	Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets. IEEE Access Marzieh Esmaeili, Amirhosein Toosi, Arash Roshanpoor, Vahid Changizi, Marjan Ghazisaeedi, Arman Rahmim, Mohammad Sabokrou
2023	—	`conf`	Observer study-based evaluation of TGAN architecture used to generate oncological PET images. Image Perception, Observer Performance, and Technology Assessment Roberto Fedrigo, Fereshteh Yousefirizi, Ziping Liu, Abhinav K. Jha, Robert V. Bergen, Jean-François Rajotte, Raymond T. Ng, Ingrid Bloise, Sara Harsini, Dan J. Kadrmas, Carlos F. Uribe, Arman Rahmim
2023	J	`jnl`	Prediction of drug amount in Parkinson's disease using hybrid machine learning systems and radiomics features. Int. J. Imaging Syst. Technol. Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Mahya Bakhtiyari, Mehdi Maghsudi, Arman Rahmim
2023	B	`conf`	Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging. Image Processing Fereshteh Yousefirizi, Joo Hyun O, Ingrid Bloise, Amirhosein Toosi, Carlos F. Uribe, Arman Rahmim
2023	B	`conf`	State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images. Image Processing Amirhosein Toosi, Sara Harsini, Shadab Ahamed, Fereshteh Yousefirizi, François Bénard, Carlos F. Uribe, Arman Rahmim
2022	B	`conf`	3D PET image generation with tumour masks using TGAN. Image Processing Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng
2022	—	`conf`	A U-Net Convolutional Neural Network with Multiclass Dice Loss for Automated Segmentation of Tumors and Lymph Nodes from Head and Neck Cancer PET/CT Images. HECKTOR@MICCAI Shadab Ahamed, Luke Polson, Arman Rahmim
2022	B	`conf`	A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma. Image Processing Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi
2022	—	`conf`	Advanced survival prediction in head and neck cancer using hybrid machine learning systems and radiomics features. Biomedical Applications in Molecular, Structural, and Functional Imaging Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Ensiyeh Modiri, Azizeh Akbari, Ghasem Hajianfar, Dariush Askari, Mehdi Fatan, Mehdi Maghsudi, Hanieh Ghaffari, Seyed Masoud Rezaeijo, Mohammad Mahdi Ghaemi, Arman Rahmim
2022	J	`jnl`	Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN. CoRR Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng
2022	J	`jnl`	COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients. Comput. Biol. Medicine Isaac Shiri, Yazdan Salimi, Masoumeh Pakbin, Ghasem Hajianfar, Atlas Haddadi Avval, Amirhossein Sanaat, Shayan Mostafaei, Azadeh Akhavanallaf, Abdollah Saberi, Zahra Mansouri, Dariush Askari, Mohammadreza Ghasemian, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Maziar Khateri, Salar Bijari, Mohammad Reza Atashzar, Sajad P. Shayesteh, Bardia Khosravi, Mohammadreza Babaei, Elnaz Jenabi, Mohammad Hasanian, Alireza Shahhamzeh, Seyed Yaser Foroghi Ghomi, Abolfazl Mozafari, Arash Teimouri, Fatemeh Movaseghi, Azin Ahmari, Neda Goharpey, Rama Bozorgmehr, Hesamaddin Shirzad-Aski, Roozbeh Mortazavi, Jalal Karimi, Nazanin Mortazavi, Sima Besharat, Mandana Afsharpad, Hamid Abdollahi, Parham Geramifar, Amir Reza Radmard, Hossein Arabi, Kiara Rezaei-Kalantari, Mehrdad Oveisi, Arman Rahmim, Habib Zaidi
2022	B	`conf`	Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images. Image Processing Fereshteh Yousefirizi, Natalia Dubljevic, Shadab Ahamed, Ingrid Bloise, Claire Gowdy, Joo Hyun O, Youssef Farag, Rodrigue de Schaetzen, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim
2022	—	`conf`	Deep Learning and Machine Learning Techniques for Automated PET/CT Segmentation and Survival Prediction in Head and Neck Cancer. HECKTOR@MICCAI Mohammad R. Salmanpour, Ghasem Hajianfar, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, Mohammad Mehdi Hosseini, Ehsanhosein Kalatehjari, Ali Harimi, Arman Rahmim
2022	J	`jnl`	Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. Medical Image Anal. Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joël Castelli, Martin Vallières, Simeng Zhu, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior, Adrien Depeursinge
2022	J	`jnl`	Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images. Comput. Biol. Medicine Isaac Shiri, Mehdi Amini, Mostafa Nazari, Ghasem Hajianfar, Atlas Haddadi Avval, Hamid Abdollahi, Mehrdad Oveisi, Hossein Arabi, Arman Rahmim, Habib Zaidi
2022	J	`jnl`	Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022). CoRR Arman Rahmim, Tyler J. Bradshaw, Irène Buvat, Joyita Dutta, Abhinav K. Jha, Paul E. Kinahan, Quanzheng Li, Chi Liu, Melissa D. McCradden, Babak Saboury, Eliot L. Siegel, John J. Sunderland, Richard L. Wahl
2022	J	`jnl`	Modeling the efficacy of different anti-angiogenic drugs on treatment of solid tumors using 3D computational modeling and machine learning. Comput. Biol. Medicine Milad Mousavi, Mahsa Dehghan Manshadi, Madjid Soltani, Farshad Moradi Kashkooli, Arman Rahmim, Amir Mosavi, Michal Kvasnica, Peter M. Atkinson, Levente Kovács, Andras Koltay, Norbert Kiss, Hojjat Adeli
2022	B	`conf`	Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer. Image Processing Arash Javanmardi, Mahdi Hosseinzadeh, Ghasem Hajianfar, Amir Hossein Nabizadeh, Seyed Masoud Rezaeijo, Arman Rahmim, Mohammad R. Salmanpour
2022	—	`conf`	Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features. Computer-Aided Diagnosis Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Azizeh Akbari, Kasra Borazjani, Kasra Mojallal, Dariush Askari, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad Mahdi Ghaemi, Amir Hossein Nabizadeh, Arman Rahmim
2022	J	`jnl`	Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks. CoRR Fereshteh Yousefirizi, Ian Janzen, Natalia Dubljevic, Yueh-En Liu, Chloe Hill, Calum MacAulay, Arman Rahmim
2022	J	`jnl`	Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features. CoRR Arman Rahmim, Amirhosein Toosi, Mohammad R. Salmanpour, Natalia Dubljevic, Ian Janzen, Isaac Shiri, Mohamad A. Ramezani, Ren Yuan, Cheryl Ho, Habib Zaidi, Calum MacAulay, Carlos F. Uribe, Fereshteh Yousefirizi
2022	J	`jnl`	Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features. Comput. Methods Programs Biomed. Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, Juan M. Lavista Ferres, Ghassan Hamarneh, Arman Rahmim
2022	J	`jnl`	Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics. Comput. Biol. Medicine Pegah Moradi Khaniabadi, Yassine Bouchareb, Humoud Al Dhuhli, Isaac Shiri, Faiza Al Kindi, Bita Moradi Khaniabadi, Habib Zaidi, Arman Rahmim
2021	J	`jnl`	3-D PET Image Generation with tumour masks using TGAN. CoRR Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng
2021	J	`jnl`	A brief history of AI: how to prevent another winter (a critical review). CoRR Amirhosein Toosi, Andrea Bottino, Babak Saboury, Eliot L. Siegel, Arman Rahmim
2021	J	`jnl`	AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics. CoRR Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar, Su Ruan, Babak Saboury, Arman Rahmim
2021	—	`conf`	Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck Cancer. HECKTOR@MICCAI Mohammad R. Salmanpour, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad Mahdi Ghaemi, Arman Rahmim
2021	J	`jnl`	Artificial Intelligence in PET: an Industry Perspective. CoRR Arkadiusz Sitek, Sangtae Ahn, Evren Asma, Adam Chandler, Alvin Ihsani, Sven Prevrhal, Arman Rahmim, Babak Saboury, Kris Thielemans
2021	J	`jnl`	Artificial intelligence-driven assessment of radiological images for COVID-19. Comput. Biol. Medicine Yassine Bouchareb, Pegah Moradi Khaniabadi, Faiza Al Kindi, Humoud Al Dhuhli, Isaac Shiri, Habib Zaidi, Arman Rahmim
2021	J	`jnl`	Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's disease. Comput. Methods Programs Biomed. Mohammad R. Salmanpour, Mojtaba Shamsaei, Arman Rahmim
2021	J	`jnl`	Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT images. Comput. Biol. Medicine Matthew P. Adams, Arman Rahmim, Jing Tang
2021	J	`jnl`	Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients. Comput. Biol. Medicine Isaac Shiri, Majid Sorouri, Parham Geramifar, Mostafa Nazari, Mohammad Abdollahi, Yazdan Salimi, Bardia Khosravi, Dariush Askari, Leila Aghaghazvini, Ghasem Hajianfar, Amir Kasaeian, Hamid Abdollahi, Hossein Arabi, Arman Rahmim, Amir Reza Radmard, Habib Zaidi
2021	J	`jnl`	Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning. Comput. Biol. Medicine Mohammad R. Salmanpour, Mojtaba Shamsaei, Abdollah Saberi, Ghasem Hajianfar, Hamid Soltanian-Zadeh, Arman Rahmim
2021	—	`conf`	Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks. HECKTOR@MICCAI Fereshteh Yousefirizi, Ian Janzen, Natalia Dubljevic, Yueh-En Liu, Chloe Hill, Calum MacAulay, Arman Rahmim
2020	—	`conf`	GAN-Based Bi-Modal Segmentation Using Mumford-Shah Loss: Application to Head and Neck Tumors in PET-CT Images. HECKTOR@MICCAI Fereshteh Yousefirizi, Arman Rahmim
2020	J	`jnl`	Multi-Level Multi-Modality Fusion Radiomics: Application to PET and CT Imaging for Prognostication of Head and Neck Cancer. IEEE J. Biomed. Health Informatics Wenbing Lv, Saeed Ashrafinia, Jianhua Ma, Lijun Lu, Arman Rahmim
2019	J	`jnl`	Imager-4D: New Software for Viewing Dynamic PET Scans and Extracting Radiomic Parameters from PET Data. J. Digit. Imaging Steven P. Rowe, Lilja B. Solnes, Yafu Yin, Grant B. Kitchen, Martin A. Lodge, Nicolas A. Karakatsanis, Arman Rahmim, Martin G. Pomper, Jeffrey P. Leal
2019	J	`jnl`	Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches. CoRR Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim
2019	J	`jnl`	Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease. Comput. Biol. Medicine Mohammad R. Salmanpour, Mojtaba Shamsaei, Abdollah Saberi, Saeed Setayeshi, Ivan S. Klyuzhin, Vesna Sossi, Arman Rahmim
2019	J	`jnl`	PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients. CoRR Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim
2018	J	`jnl`	An Analysis Scheme for Investigation of Effects of Various Parameters on Signals in Acoustic-Resolution Photoacoustic Microscopy of Mice Brain: a Simulation Study. CoRR Hossein Ghadiri, Mohammad Reza Fouladi, Arman Rahmim
2018	J	`jnl`	Enhancement of dynamic myocardial perfusion PET images based on low-rank plus sparse decomposition. Comput. Methods Programs Biomed. Lijun Lu, Xiaomian Ma, Hassan Mohy-ud-Din, Jianhua Ma, Qianjin Feng, Arman Rahmim, Wufan Chen
2018	—	`conf`	Radiomics analysis of baseline F-FDG PET/CT images for improved prognosis in nasopharyngeal carcinoma. ISBI Wenbing Lv, Qingyu Yuan, Quanshi Wang, Jianhua Ma, Qianjin Feng, Wufan Chen, Arman Rahmim, Lijun Lu
2017	—	`conf`	A radiative transfer equation-based image-reconstruction method incorporating boundary conditions for diffuse optical imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging Abhinav K. Jha, Yansong Zhu, Dean F. Wong, Arman Rahmim
2017	J	`jnl`	Linking dopaminergic reward signals to the development of attentional bias: A positron emission tomographic study. NeuroImage Brian A. Anderson, Hiroto Kuwabara, Dean F. Wong, Joshua Roberts, Arman Rahmim, James R. Brasic, Susan M. Courtney
2016	J	`jnl`	Blood flow and endothelial cell phenotype regulation during sprouting angiogenesis. Medical Biol. Eng. Comput. Hossein Bazmara, Madjid Soltani, Mostafa Sefidgar, Majid Bazargan, Mojtaba Mousavi Naeenian, Arman Rahmim
2016	—	`conf`	Ultrasound Tomosynthesis: A New Paradigm for Quantitative Imaging of the Prostate. MICCAI (1) Fereshteh Aalamifar, Reza Seifabadi, Marcelino Bernardo, Ayele H. Negussie, Baris Turkbey, María Merino, Peter A. Pinto, Arman Rahmim, Bradford J. Wood, Emad M. Boctor
2014	—	`conf`	Anatomy-guided brain PET imaging incorporating a joint prior model. ISBI Lijun Lu, Jianhua Ma, Jing Tang, Qianjin Feng, Arman Rahmim, Wufan Chen
2013	J	`jnl`	X-ray CT Metal Artifact Reduction Using Wavelet Domain $L_{0}$ Sparse Regularization. IEEE Trans. Medical Imaging Abolfazl Mehranian, Mohammad Reza Ay, Arman Rahmim, Habib Zaidi
2010	J	`jnl`	Cannaboid CB1 receptor imaging in vivo in schizophrenia by positron emission tomography. NeuroImage Dean F. Wong, Hiroto Kuwabara, Andrew G. Horti, Vanessa Raymont, James R. Brasic, Maria Guevara, Blanca Bisuna, Ayon Nandi, Arman Rahmim, Nicola Cascella
2010	J	`jnl`	Quantification of cerebral cannabinoid receptors subtype 1 (CB1) in healthy subjects and schizophrenia by the novel PET radioligand [ NeuroImage Dean F. Wong, Hiroto Kuwabara, Andrew G. Horti, Vanessa Raymont, James R. Brasic, Maria Guevara, Weiguo Ye, Robert F. Dannals, Hayden T. Ravert, Ayon Nandi, Arman Rahmim, Jeffrey E. Ming, Igor Grachev, Christine Roy, Nicola Cascella
2008	J	`jnl`	Accurate Event-Driven Motion Compensation in High-Resolution PET Incorporating Scattered and Random Events. IEEE Trans. Medical Imaging Arman Rahmim, Katie Dinelle, Ju-Chieh Cheng, Mikhail A. Shilov, William Paul Segars, Sarah C. Lidstone, Stephan Blinder, Olivier G. Rousset, Hamid Vajihollahi, Benjamin M. W. Tsui, Dean F. Wong, Vesna Sossi
2008	—	`conf`	Analytic system matrix resolution modeling in PET: An application to Rb-82 cardiac imaging. ISBI Arman Rahmim, Martin A. Lodge, Jing Tang, Sahel Lashkari, Mohammad Reza Ay
2008	—	`conf`	Bayesian PET image reconstruction incorporating anato-functional joint entropy. ISBI Jing Tang, Benjamin M. W. Tsui, Arman Rahmim
2008	—	`conf`	Comparative assessment of different energy mapping methods for generation of 511-keV attenuation map from CT images in PET/CT systems: A phantom study. ISBI Maryam Shirmohammad, Mohammad Reza Ay, Saeed Sarkar, Hossein Ghadiri, Arman Rahmim
2008	—	`conf`	Monte Carlo assessment of time-of-flight benefits on the LYSO-based discovery RX PET/CT scanner. ISBI Parham Geramifar, Mohammad Reza Ay, Mojtaba Shamsaei Zafarghandi, George Loudos, Arman Rahmim